Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach

The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating pos...

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Main Authors: Wahab, Ahmad Khairi Abdul, Hussain, Mohd Azlan, Omer, Rosli
Format: Article
Published: Wiley 2007
Subjects:
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author Wahab, Ahmad Khairi Abdul
Hussain, Mohd Azlan
Omer, Rosli
author_facet Wahab, Ahmad Khairi Abdul
Hussain, Mohd Azlan
Omer, Rosli
author_sort Wahab, Ahmad Khairi Abdul
collection UM
description The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance.
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spelling um.eprints-70472021-02-10T02:45:27Z http://eprints.um.edu.my/7047/ Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach Wahab, Ahmad Khairi Abdul Hussain, Mohd Azlan Omer, Rosli TA Engineering (General). Civil engineering (General) TP Chemical technology The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance. Wiley 2007 Article PeerReviewed Wahab, Ahmad Khairi Abdul and Hussain, Mohd Azlan and Omer, Rosli (2007) Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach. Asia-Pacific Journal of Chemical Engineering, 2 (6). pp. 526-535. ISSN 1932-2135, DOI https://doi.org/10.1002/apj.97 <https://doi.org/10.1002/apj.97>. https://doi.org/10.1002/apj.97 doi:10.1002/apj.97
spellingShingle TA Engineering (General). Civil engineering (General)
TP Chemical technology
Wahab, Ahmad Khairi Abdul
Hussain, Mohd Azlan
Omer, Rosli
Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_full Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_fullStr Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_full_unstemmed Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_short Temperature control of a pilot plant reactor system using a genetic algorithm model‐based control approach
title_sort temperature control of a pilot plant reactor system using a genetic algorithm model based control approach
topic TA Engineering (General). Civil engineering (General)
TP Chemical technology
work_keys_str_mv AT wahabahmadkhairiabdul temperaturecontrolofapilotplantreactorsystemusingageneticalgorithmmodelbasedcontrolapproach
AT hussainmohdazlan temperaturecontrolofapilotplantreactorsystemusingageneticalgorithmmodelbasedcontrolapproach
AT omerrosli temperaturecontrolofapilotplantreactorsystemusingageneticalgorithmmodelbasedcontrolapproach